Instructions to use cpraschl/bambi-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cpraschl/bambi-models with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("cpraschl/bambi-models") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload thermal_original/results.csv with huggingface_hub
Browse files- thermal_original/results.csv +25 -0
thermal_original/results.csv
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2,lr/pg3,lr/pg4,lr/pg5,lr/pg6,lr/pg7
|
| 2 |
+
1,1413.26,2.28837,3.59661,0.00507,0.36374,0.28032,0.19596,0.07192,2.23227,2.78452,0.00529,0.00999776,0.00333259,0.00999776,0.00333259,0.00999776,0.00333259,0.00999776,0.00333259
|
| 3 |
+
2,2625.34,2.12144,2.56954,0.00452,0.15988,0.18616,0.08698,0.02448,2.50417,3.43505,0.00582,0.0198988,0.00663292,0.0198988,0.00663292,0.0198988,0.00663292,0.0198988,0.00663292
|
| 4 |
+
3,3797.31,2.13455,2.65924,0.00455,0.35283,0.28986,0.19242,0.07017,2.30854,3.13487,0.00542,0.0297008,0.00990026,0.0297008,0.00990026,0.0297008,0.00990026,0.0297008,0.00990026
|
| 5 |
+
4,4959.23,2.16208,2.66072,0.00459,0.3203,0.31415,0.21692,0.08489,2.36859,2.82962,0.00583,0.0295545,0.0098515,0.0295545,0.0098515,0.0295545,0.0098515,0.0295545,0.0098515
|
| 6 |
+
5,6118.46,2.11722,2.55604,0.00453,0.22956,0.16667,0.14173,0.05226,2.41625,3.47393,0.00571,0.029406,0.009802,0.029406,0.009802,0.029406,0.009802,0.029406,0.009802
|
| 7 |
+
6,7278.33,2.1023,2.4304,0.00446,0.31021,0.24396,0.1936,0.06354,2.41181,3.05554,0.00563,0.0292575,0.0097525,0.0292575,0.0097525,0.0292575,0.0097525,0.0292575,0.0097525
|
| 8 |
+
7,8436.81,2.06593,2.37743,0.00434,0.25007,0.19807,0.13203,0.03828,2.6817,3.38571,0.00623,0.029109,0.009703,0.029109,0.009703,0.029109,0.009703,0.029109,0.009703
|
| 9 |
+
8,9593.7,2.03159,2.31469,0.00427,0.31878,0.21014,0.16115,0.06284,2.48522,3.33627,0.00593,0.0289605,0.0096535,0.0289605,0.0096535,0.0289605,0.0096535,0.0289605,0.0096535
|
| 10 |
+
9,10752,2.01584,2.23958,0.00421,0.25306,0.2029,0.12246,0.03887,2.72251,3.34771,0.00637,0.028812,0.009604,0.028812,0.009604,0.028812,0.009604,0.028812,0.009604
|
| 11 |
+
10,11909.8,1.9967,2.1859,0.00418,0.34853,0.30193,0.21112,0.06722,2.44105,2.97469,0.00569,0.0286635,0.0095545,0.0286635,0.0095545,0.0286635,0.0095545,0.0286635,0.0095545
|
| 12 |
+
11,13066.8,1.98546,2.13524,0.00417,0.19777,0.12077,0.09064,0.03607,2.64155,3.80406,0.00623,0.028515,0.009505,0.028515,0.009505,0.028515,0.009505,0.028515,0.009505
|
| 13 |
+
12,14223.1,1.96232,2.08865,0.00407,0.27054,0.22947,0.17157,0.07127,2.31001,3.16416,0.00545,0.0283665,0.0094555,0.0283665,0.0094555,0.0283665,0.0094555,0.0283665,0.0094555
|
| 14 |
+
13,15381.3,1.95071,2.07069,0.00407,0.23902,0.19082,0.12585,0.04582,2.78056,3.42447,0.00654,0.028218,0.009406,0.028218,0.009406,0.028218,0.009406,0.028218,0.009406
|
| 15 |
+
14,16538.9,1.9327,2.03053,0.00402,0.32093,0.20048,0.14953,0.04937,2.71057,3.22439,0.00638,0.0280695,0.0093565,0.0280695,0.0093565,0.0280695,0.0093565,0.0280695,0.0093565
|
| 16 |
+
15,17696,1.91143,1.98521,0.00396,0.12839,0.13043,0.09362,0.03831,2.50859,3.83692,0.00592,0.027921,0.009307,0.027921,0.009307,0.027921,0.009307,0.027921,0.009307
|
| 17 |
+
16,18853,1.88672,1.97946,0.0039,0.11684,0.12319,0.06194,0.02776,2.39597,3.72251,0.00564,0.0277725,0.0092575,0.0277725,0.0092575,0.0277725,0.0092575,0.0277725,0.0092575
|
| 18 |
+
17,20010.1,1.87431,1.95485,0.00387,0.27286,0.16184,0.13117,0.04398,2.60639,3.5615,0.00613,0.027624,0.009208,0.027624,0.009208,0.027624,0.009208,0.027624,0.009208
|
| 19 |
+
18,21168.8,1.86508,1.90774,0.00386,0.2388,0.27295,0.15083,0.05279,2.46608,3.02848,0.00583,0.0274755,0.0091585,0.0274755,0.0091585,0.0274755,0.0091585,0.0274755,0.0091585
|
| 20 |
+
19,22326,1.86302,1.86447,0.00383,0.17587,0.16667,0.08054,0.0227,2.69708,3.57121,0.00636,0.027327,0.009109,0.027327,0.009109,0.027327,0.009109,0.027327,0.009109
|
| 21 |
+
20,23485.3,1.8385,1.85124,0.00378,0.28993,0.18841,0.13413,0.04791,2.52049,3.51521,0.00603,0.0271785,0.0090595,0.0271785,0.0090595,0.0271785,0.0090595,0.0271785,0.0090595
|
| 22 |
+
21,24644.4,1.82876,1.82759,0.00377,0.31023,0.20048,0.15619,0.05348,2.41576,3.30705,0.00572,0.02703,0.00901,0.02703,0.00901,0.02703,0.00901,0.02703,0.00901
|
| 23 |
+
22,25797.8,1.80536,1.78911,0.0037,0.28295,0.25604,0.17978,0.05484,2.66332,3.14442,0.00627,0.0268815,0.0089605,0.0268815,0.0089605,0.0268815,0.0089605,0.0268815,0.0089605
|
| 24 |
+
23,26948,1.79725,1.78543,0.00369,0.28377,0.22705,0.14896,0.05527,2.46323,3.23042,0.00584,0.026733,0.008911,0.026733,0.008911,0.026733,0.008911,0.026733,0.008911
|
| 25 |
+
24,28099.9,1.76849,1.74812,0.0036,0.25269,0.26329,0.14655,0.04686,2.62756,2.91387,0.00616,0.0265845,0.0088615,0.0265845,0.0088615,0.0265845,0.0088615,0.0265845,0.0088615
|